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    Cicero

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    Deployed on AWS
    Cicero is an AI platform specifically designed for litigation professionals who require secure and efficient review of large volumes of case documents. It enhances the identification of critical information by providing highly accurate responses while incorporating verification features to keep legal professionals engaged in the review process. The platform offers essential functionalities such as early case intelligence, investigations, timelines, information extraction, fact-checking, and native integration with iManage and Relativity. All operations are conducted within the firms firewall in an **ISO 27001**, **42001**, and **SOC2**-certified environment, utilizing dedicated models to ensure client data remains secure and is never shared with third parties.

    Overview

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    Cicero is an AI platform designed for litigation professionals who require a secure and efficient solution for reviewing large volumes of case documents. By integrating advanced AI capabilities with stringent security protocols, Cicero enables law firms to significantly accelerate document analysis while maintaining client confidentiality. The platform seamlessly integrates into existing litigation workflows, allowing legal teams to focus on case strategy rather than document management.

    Key features of the Cicero platform include:

    • Early Case Assessment: Rapidly analyzes lengthy documents, generating concise summaries and classifications that capture essential information.
    • Evidence Analysis: Searches through thousands of files in a single query to identify critical information and test case theories, reducing discovery time.
    • Chronology Generation: Produces accurate and comprehensive first-draft timelines by scanning documents, with in-app functionality for editing, refining, and verification.
    • Data Extraction and Analysis: Tabulates key data points across contracts, records, and statements, enabling AI-driven analysis while highlighting outliers.
    • Seamless Integration: Natively integrates with iManage and Relativity, allowing for secure and efficient document processing.
    • Advanced Document Tagging: Enables precise document search and filtering using customizable tagging protocols.
    • AI-Powered Document Splitting: Automates the segmentation of bundled documents, reducing manual workload for legal teams.

    Security and Compliance - Cicero operates within a highly secure, private cloud environment, ensuring the protection of sensitive legal data:

    • Industry-Leading Certifications: Certified for SOC 2, ISO 42001, and ISO 27001 compliance, including being among the first organizations globally to attain ISO 42001 certification for AI governance.
    • Regulatory Compliance: Adheres to international standards, including APRA 234 and 230, FEAT, NIST, and RFM frameworks.
    • Data Sovereignty: Deployable in a location of choice using a secure private cloud, ensuring compliance with local data protection regulations.
    • Private Large Language Models: Utilizes privately hosted models from Meta and Mistral, ensuring client data is neither retained nor used for AI training.
    • Human-in-the-Loop Verification: Designed with built-in verification mechanisms to maintain legal accuracy and prevent unauthorized data sharing. Reliable AI Outputs: Engineered to minimize risks such as hallucinations, human error, and overreliance on AI-generated results.

    Cicero is currently available in Australia and the United States, with plans to expand into additional jurisdictions by late 2025.

    Highlights

    • Early Case Assessment: Rapidly analyzes lengthy documents, generating concise summaries and classifications that capture essential information.
    • Evidence Analysis: Searches through thousands of files in a single query to identify critical information and test case theories, reducing discovery time.
    • Chronology Generation: Produces accurate and comprehensive first-draft timelines by scanning documents, with in-app functionality for editing, refining, and verification.

    Details

    Delivery method

    Deployed on AWS

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    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Prepaid Commitment
    The prepaid commitment will let you use 25,000 document units per matter. Document Unit is defined as 1,536 words ingested.
    $25,000.00

    Additional usage costs (1)

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    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Description
    Cost/unit
    Overage per Document
    Additional cost per doc unit over 25,000 per matter. Doc Unit = 1,536 words ingested.
    $2.00

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